Pai fire, 29 March 2019 ปาย · Pai
The fire started on 29 March 2019 in Pai, Thailand, and satellites saw it burning for 5 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 1,388 hectares from heat detections, spread across a single municipality.
It is the 315th largest in Mae Hong Son Province since 2016 (of 570 with a page). Number 250 in Thailand in 2019, of 465.
The power measured by the satellite is low (15.1 MW in the strongest hotspot), more typical of grass or stubble burning, or a slow surface fire, than of a large crown fire.
Compare with…
- Burnt area
- 1,388ha
- GWIS perimeter (Copernicus)
- Duration
- 5days
- 29 Mar 2019 – 2 Apr 2019
- Municipalities hit
- 1
- districts
- Started on
- 29 Mar
- 2019
- Heat detections
- 54
- in a single hotspot: 15 MW
- Danger at start
- 39
- Very high · FWI index
- Average daily power
- 18MW
- detected power per day, on average
Where it burned
How it evolved, day by day
Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.
The weather it burned in
It had gone more than two months without rain (1 mm or more) when it started.
This area had burned before
42% of the perimeter overlaps earlier fires recorded since 2016: 340 ha in 2016, 347 ha in 2017, 240 ha in 2018. Part of it burned more than once, so the yearly figures add up to more than the 581 ha that had burned before.
- 80 ha Pang Mapha fire, March 2017 2,276 ha in total; the hectares shown are those it shares with this fire
- 38 ha Pai fire, March 2016 1,114 ha in total; the hectares shown are those it shares with this fire
- 38 ha Pai fire, February 2017 2,341 ha in total; the hectares shown are those it shares with this fire
How big is it?
London boundary: geoBoundaries · Office for National Statistics (Open Government Licence v3.0).
Bangkok boundary: geoBoundaries · OpenStreetMap, Wambacher · © OpenStreetMap contributors (ODbL 1.0).
Paris boundary: geoBoundaries · Institut national de l'information géographique et forestière (IGN-F) (Etalab Open License 2.0).
Madrid boundary: geoBoundaries · Open Data ESRI, IGN Central Registry of Cartography Area (CC BY 4.0).
This compares size, not location: both shapes are at the same scale, north up, centred on each other.
What happened to each town
-
1,395 ha0.6 %
Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.
The weather day by day
ECMWF ERA5 reanalysis at the fire location, the standard reference for past weather, and the Canadian Fire Weather Index (the same system Copernicus uses), computed by WorldFires from that data. Days after the fire run until the first rain.
Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)
| Day | High | Min. humidity | Peak gust | Rain | Danger (FWI) |
|---|---|---|---|---|---|
| 19 Mar | 31.4 °C | 28 % | 50 km/h | 0.0 mm | Very high 39 |
| 20 Mar | 31.7 °C | 26 % | 49 km/h | 0.1 mm | Very high 39 |
| 21 Mar | 32.1 °C | 22 % | 39 km/h | 0.0 mm | High 37 |
| 22 Mar | 32.3 °C | 22 % | 31 km/h | 0.0 mm | High 35 |
| 23 Mar | 33.4 °C | 22 % | 26 km/h | 0.0 mm | High 33 |
| 24 Mar | 33.7 °C | 20 % | 37 km/h | 0.0 mm | Very high 38 |
| 25 Mar | 34.3 °C | 23 % | 31 km/h | 0.0 mm | High 36 |
| 26 Mar | 34.4 °C | 21 % | 30 km/h | 0.0 mm | High 36 |
| 27 Mar | 32.0 °C | 32 % | 44 km/h | 0.0 mm | High 37 |
| 28 Mar | 31.7 °C | 24 % | 43 km/h | 0.0 mm | High 37 |
| 29 Mar | 33.5 °C | 16 % | 31 km/h | 0.0 mm | Very high 38 |
| 30 Mar | 33.1 °C | 24 % | 31 km/h | 0.0 mm | Very high 40 |
| 31 Mar | 33.3 °C | 21 % | 36 km/h | 0.0 mm | Very high 41 |
| 1 Apr | 34.0 °C | 18 % | 37 km/h | 0.0 mm | Very high 42 |
| 2 Apr | 34.3 °C | 19 % | 36 km/h | 0.0 mm | Very high 42 |
| 3 Apr after | 33.6 °C | 24 % | 36 km/h | 0.4 mm | Very high 40 |
| 4 Apr after | 33.9 °C | 20 % | 39 km/h | 0.0 mm | Very high 42 |
| 5 Apr after | 33.7 °C | 22 % | 36 km/h | 0.0 mm | Very high 42 |
| 6 Apr after | 34.3 °C | 22 % | 36 km/h | 0.0 mm | Very high 42 |
| 7 Apr after | 34.5 °C | 20 % | 42 km/h | 0.0 mm | Very high 46 |
| 8 Apr after | 33.9 °C | 23 % | 44 km/h | 0.0 mm | Very high 44 |
| 9 Apr after | 34.2 °C | 23 % | 41 km/h | 0.0 mm | Very high 44 |
| 10 Apr after | 34.4 °C | 19 % | 44 km/h | 0.0 mm | Very high 45 |
| 11 Apr after | 35.2 °C | 20 % | 41 km/h | 0.0 mm | Very high 45 |
| 12 Apr after | 34.6 °C | 23 % | 38 km/h | 0.0 mm | Very high 43 |
Before and after, from space
Drag the line to compare the same ground before the fire and after it.
If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.
Detections table · 54Every satellite heat detection, one by one, with time, satellite, power and coordinates.
| Date and time | Satellite | FRP (MW) | Lat | Lon |
|---|
Other fires nearby
Frequently asked questions
- How long did the Pai fire last?
- GWIS (Copernicus) dates it between 29 March 2019 and 2 April 2019: 5 days between the first and last heat detection of the perimeter.
- How much area did it burn?
- The perimeter GWIS (Copernicus) rebuilt from heat detections is 1,388 hectares (13.9 km²). It is an estimate: official national figures may differ.
- Which municipalities burned?
- The fire only entered Pai (1,395 ha, 0.6 %).
- What was the weather like?
- During the fire the temperature reached 34.4 °C, humidity dropped to 16 % and gusts hit 50 km/h. The fire danger index (FWI) reached 42, class Very high.
- Where does this data come from?
- From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Thailand (geoBoundaries). It is not an official report.
Where to verify it
A satellite detection is not an official report. Final figures and the fire’s status are published by each country’s emergency service.
Emergency number: 199 · 191
Satellite cross-check
Does something look wrong on this page?
This page is built from satellite data and official records, and it sometimes gets things wrong: the wrong dates, the wrong town, two fires merged into one, or something that was not a wildfire at all. If you know this fire first-hand (you live nearby, saw it, fought it or reported on it), tell us what really happened and we will check it.
Report an error
How we know this
- Perimeter: GWIS (Copernicus), rebuilt from heat detections rather than mapped on imagery.
- Dates from the perimeter: the VIIRS detections inside it did not change them. 54 Suomi-NPP VIIRS detections on those dates.
- We have not matched this page with any official record.
- Weather: Copernicus ERA5 reanalysis at the fire location, in cells of about 25 km.
Where this data comes from
The perimeter comes from the Copernicus Global Wildfire Information System (GWIS), which rebuilds it from MODIS and VIIRS heat detections and publishes it under CC BY 4.0. It is not measured on imagery as in Europe, so it is an estimate. Heat detections come from the VIIRS sensors aboard Suomi-NPP and NOAA-20, distributed by NASA FIRMS at 375 m resolution. Municipal boundaries come from geoBoundaries ADM2 (Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)). The area per municipality is computed by WorldFires by crossing the perimeter with those boundaries, so it may differ from each country’s official figure.